We are looking for…

Senior Director - Healthcare AI

location-logo Remote, United States
gear-logo Customer Engineering

We want people who are passionate about solving today’s healthcare challenges and positively impacting people’s health and well-being.

After all, that’s what we’ve been focusing on for the past six years. We’re on a purpose-driven journey to impact the future with a healthcare system that cares. The healthcare industry is undergoing a massive transformation, and Innovaccer is helping organizations effectively care for patients in today’s digital world. Our story began when a handful of go-getters got together to tackle one of the healthcare industry’s most pressing needs: a one-stop, whole-patient data bank that breaks down data silos to help teams provide the best care possible. Our mission to care as one is centered around the need for an integrated patient view to improve care delivery.
And you don’t have to take our word for it; Innovaccer recently achieved unicorn status as one of the fastest-growing companies in healthcare technology.
Innovaccer is uniquely positioned in the marketplace and is building a one-of-a-kind healthcare cloud that will enable users to develop applications and solve long-standing healthcare challenges. See our latest KLAS ranking.

Working here is different.

We take pride in our grit and purpose-driven work ethic. It’s why we’ve been able to solve some of healthcare’s most challenging problems and why we continue to energetically take on incredible challenges.
We dream, we collaborate, we experiment, and we break new ground. We’re a strong team that looks out for each other.

At Innovaccer, you can expect plenty of support and guidance from your colleagues with opportunities to learn, grow, and make a difference.
We love organized chaos. So, if you are looking for a typical 9 to 5 job where you are told what to do, this may not be for you. When you work with Innovaccer, you are your own boss.

Your Role

We are looking for  Senior Director Healthcare AI to join the Customer Engineering team. The Director Healthcare AI is responsible for developing the vision, and roadmap for data science at Innovaccer


A Day in the Life

  • The Sr. Director Healthcare AI will be responsible for building the next generation of AI products (with ARR north of $20M) that will digitally transform the healthcare industry . 
  • You will be working closely with the platform teams to create the data science platform that will power the ML/AI Solutions at scale
  • You will be collaborating with product management and engineering teams to embed the AI products into the solutions
  • The Sr. Director Healthcare AI will also play an analytical role where he will be responsible for the evaluation of analytics and machine learning technologies in use in the business, as well as identifying new data sources that need to be collected to enhance the models being built. 
  • In collaboration with the marketing team, Director Healthcare AI  will be responsible for launching various AI products in the market as well as create a brand recognition for Innovaccer within the Healthcare AI space. 
  • You will be responsible for developing the team’s culture, building the team, and mentoring young data scientists in his/her team. 
  • The Sr. Director Healthcare AI will be responsible for pushing the boundaries of innovation to inspire teams to submit various patentable inventions.

What You Need

  • The Sr. Director Healthcare AI has to have a master’s degree (PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative. An equivalent of the same in working experience is also acceptable for the position.
  • The candidate for this position will have had at least 10 years of working experience in a data science capacity, preferably working as a Head of Data Science. Experience in healthcare is a plus.
  • He/She  will also have a 5+ years of  experience leading of leading data science teams
  • He/She should have experience of successfully delivering multiple data science and ML projects with values exceeding $7M
  • He/She should have a strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery.
  • The candidate will also have extensive experience solving analytical issues through quantitative approaches and machine learning methods as well as vast experience using advanced statistical methods, data mining techniques, and information retrieval.
  • The candidate must also be expert in  modern machine learning techniques as well as knowledge of A/B testing, experimental design, and general statistical modeling.
  • A suitable candidate will show comfort analyzing and manipulating large, complex, high-dimensional data from numerous sources.
  • The candidate should have hands on experience with data modeling/development software (ie. R, Pandas, Jupyter Notebook, Spark MLlib, TensorFlow) as well as should have worked with various data science platforms such as Databricks, Sagemaker etc. The candidate will also have had experience working with distributed computing tools such as Hadoop, PySpark as well as experience working with big data technologies such as SQL


Full Time